CN112098117A - Data acquisition and quality analysis system for debugging process of motor train unit - Google Patents
Data acquisition and quality analysis system for debugging process of motor train unit Download PDFInfo
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Abstract
The invention relates to a data acquisition and quality analysis system for a debugging process of a motor train unit, which comprises an acquisition control module, a communication module, an operation module, a storage module and a query module which are sequentially connected; the acquisition control module acquires state data of a single section of unfinished vehicle in a debugging process and sends the state data to the operation module through the communication module; the operation module analyzes the state data to generate a database instruction, and stores the data into the storage module through the database instruction; the query module is used for receiving query conditions of the predicted component, reading corresponding query result data streams from the storage module according to the query conditions, and performing component quality analysis prediction processing on the query result data streams to obtain a quality analysis prediction result of the predicted component. The method can collect the state data of the unfinished single-train, effectively find potential quality hidden dangers of the predicted parts and further reduce the frequency of quality problems of the motor train unit.
Description
Technical Field
The invention relates to the technical field of motor train unit debugging, in particular to a data acquisition and quality analysis system for a motor train unit debugging process.
Background
With the rapid development of the Chinese high-speed railway, the equipment level and the technical content of the high-speed railway reach the world leading level. At present, the number of times of quality problems occurring in 100 kilometers of running of each vehicle in a high-speed railway passenger car in China is twice on average, but in order to further improve the running efficiency of the high-speed railway and guarantee the running safety, the index that the number of times of quality problems occurring in 100 kilometers of running of each vehicle is smaller than 1.5 times is used as a next breakthrough target in railway companies in China. However, because the conventional single-train debugging test method only focuses on the debugging phenomenon and the debugging result, for example, when the pantograph is lifted in the running process of the motor train unit, the time from the command of the pantograph to the complete lifting of the pantograph is required to be 6 seconds, the conventional debugging test only requires to record whether the pantograph lifting time meets the requirement of 6 seconds, but in the actual running process of the motor train unit, slight clamping stagnation may occur inside the pantograph lifting cylinder, although the pantograph lifting time of the pantograph during debugging meets the requirement of 6 seconds, the slight clamping stagnation inside the pantograph lifting cylinder may cause the problem of the pantograph after the pantograph is put into running subsequently, so that the motor train unit has certain quality hidden trouble, and therefore, the breakthrough goal cannot be completed by the conventional debugging test method, and the conventional debugging test method records debugging data in a debugging list of a paper medium, because the debugging technical parameters of the renaission motor train unit are too many, therefore, the number of the debugging lists is huge, the debugging list of the whole compound motor train unit can reach more than 200 ten thousand pages, and time and labor are consumed in the process of manually searching data. Therefore, a new data acquisition and quality analysis system is urgently needed to be provided so as to improve the data lookup efficiency and timely discover the potential quality hazards of a single train in the debugging process, and further reduce the frequency of quality problems of the motor train unit.
Disclosure of Invention
Based on the above, the invention provides a system for acquiring and analyzing the data of the motor train unit in the debugging process, aiming at the problems that the potential quality hidden danger of the motor train unit component cannot be found in time and the labor are consumed in the data searching process in the traditional single-train debugging test method.
In order to solve the problems, the invention adopts the following technical scheme:
a data acquisition and quality analysis system for a debugging process of a motor train unit comprises an acquisition control module, a communication module, an operation module, a storage module and an inquiry module which are sequentially connected;
the acquisition control module acquires state data of a single unfinished vehicle in a debugging process and sends the state data to the operation module through the communication module in a binary data form;
the operation module analyzes the state data into logic type data, floating point type data and integer type data according to a known protocol rule of the motor train unit, generates a database instruction, and stores the logic type data, the floating point type data and the integer type data into the storage module through the database instruction;
the query module is used for receiving query conditions of the predicted component, reading corresponding query result data streams from the storage module according to the query conditions, and displaying the query result data streams, and the query module is also used for performing component quality analysis prediction processing on the query result data streams to obtain a quality analysis prediction result of the predicted component, and displaying the quality analysis prediction result.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides a data acquisition and quality analysis system for a motor train unit debugging process, which can acquire and display state data of unfinished single-train vehicles of the motor train unit in the debugging process, more intuitively present the data to a user, improve the convenience and the searching efficiency of searching the debugging data of the multiple-unit train unit, save manpower resources, and perform component quality analysis and prediction processing on the acquired data and historical debugging data stored in a storage module through a query module, so that potential quality hazards of predicted components in the motor train unit can be timely and effectively discovered, the product quality of the motor train unit can be improved, and the frequency of quality problems of the motor train unit can be further reduced.
Drawings
FIG. 1 is a schematic block diagram of a data acquisition and quality analysis system in an embodiment of a motor train unit commissioning process of the present invention;
FIG. 2 is a schematic block diagram of a query module in the data acquisition and quality analysis system for the debugging process of the motor train unit;
fig. 3 is a schematic block diagram of a terminal device in the data acquisition and quality analysis system in the debugging process of the motor train unit.
Detailed Description
The technical solution of the present invention will be described in detail with reference to the accompanying drawings and preferred embodiments.
In one embodiment, as shown in fig. 1, the invention provides a data acquisition and quality analysis system for a debugging process of a motor train unit, which includes an acquisition control module 1, a communication module 2, an operation module 3, a storage module 4 and an inquiry module 5, which are connected in sequence.
The acquisition control module 1 is connected with each component (such as an axle temperature sensor, an air cylinder pressure sensor, a voltage sensor, a current sensor, a switch, a relay and the like) in a single unfinished vehicle and is used for acquiring state data of the single unfinished vehicle in a debugging process, wherein the state data comprises axle temperature sensor data, air cylinder pressure sensor data, voltage sensor data, current sensor data, switch data, relay data and the like. The single unfinished vehicle in the embodiment refers to a vehicle in a single-section debugging process of the motor train unit.
The communication module can interact data with the outside and transmit the state data acquired by the communication module. The communication module 2 in the embodiment is responsible for establishing communication connection and data interaction between the acquisition control module 1 and the unfinished bicycle, and the acquisition control module 1 sends acquired state data to the operation module 3 through the communication module 2 in a binary data form.
The operation module 3 is used for analyzing the state data transmitted by the communication module 2, specifically, the state data is analyzed into logic type data, floating point type data and integer type data according to the known protocol rule of the motor train unit, the protocol types respectively represent the state data of different positions of the vehicle, a database instruction is generated after the analysis, and the logic type data, the floating point type data and the integer type data are stored in the storage module 4 through the database instruction.
The storage module 4 stores software programs and databases for ensuring the normal operation of the whole system.
The query module 5 interacts and communicates with the storage module 4, so that a user can conveniently query historical debugging data, historical fault data and the like. Specifically, the query module 5 is configured to receive a query condition about the predicted part, which is input by a user, and includes, but is not limited to, predicted part name information, recording time period information, and recording filling person information; the query module 5 reads the corresponding query result data stream from the storage module 4 according to the query conditions, displays the query result data stream, and more visually presents the query result data to the user, so that the convenience and the efficiency of looking up the adjustment result data of the multiple motor train unit are improved, and the manpower resources are saved. Meanwhile, the query module 5 is further configured to perform component quality analysis and prediction processing on the query result data stream, so as to obtain a quality analysis prediction result of the predicted component, display the quality analysis prediction result for a user to check, and discover potential quality hazards which may exist in a single unfinished vehicle in time.
The embodiment provides a data acquisition and quality analysis system for a motor train unit debugging process, the system according to the embodiment can acquire and display state data of unfinished single-train vehicles of the motor train unit in the debugging process, and presents inquiry result data to a user more intuitively, so that convenience and inquiry efficiency of looking up the renaming motor train unit debugging result data are improved, manpower resources are saved, part quality analysis and prediction processing can be performed on the acquired data and historical debugging data stored in a storage module through an inquiry module, potential quality hidden dangers of predicted parts in the motor train unit can be timely and effectively discovered, the product quality of the motor train unit is improved, and the frequency of quality problems of the motor train unit is further reduced.
Further, the process of performing component quality analysis prediction processing on the query result data stream comprises the following steps:
firstly, generating a historical curve of a predicted part according to a query result data stream, wherein the historical curve can be a pull-in period time historical curve, a pressure change curve, a current change curve, a voltage change curve and the like of the predicted part, and the type of the historical curve is determined according to the type of the predicted part; or calculating a parameter difference value between the predicted component and the reference component at a certain moment according to the query result data stream, wherein the parameter can be a temperature parameter and the like;
secondly, judging whether the historical curve or the parameter difference value meets a threshold condition, and generating a quality analysis prediction result of the predicted part according to the judgment result, for example, when the historical curve or the parameter difference value meets the threshold condition, generating the quality analysis prediction result to indicate that the predicted part has potential quality hazards.
The following describes in detail the component quality analysis prediction processing procedure in this embodiment, taking the predicted components as a relay, an axle temperature sensor, and a pantograph, respectively.
Example 1: when the predicted part is the relay, a pull-in period time historical curve of the relay is generated according to the query result data stream, the threshold condition is that the maximum pull-in period time of the pull-in period time historical curve is larger than the design parameter of the relay, and the quality analysis prediction result indicates that the relay has potential quality hazards.
When the predicted part is the relay A1 of the motor train unit, the query module 5 reads the pull-in period time data of the relay A1 from the storage module 4 to obtain a query result data stream, then, generating a pull-in period time historical curve of the relay A1 according to the query result data stream, wherein the pull-in period time refers to the period time from the time when the relay A1 sends a closing command to the time when the relay A1 receives feedback that the execution is finished, and after generating the pull-in period time historical curve, determining the maximum pull-in period time according to the pull-in period time historical curve, when the maximum pull-in period time is greater than the design parameter of the relay A1, namely, the actuation cycle time history curve is judged to meet the threshold condition, and the phenomenon of mechanical clamping stagnation or poor actuation in the actuation process of the relay can be known through the design specification of a relay manufacturer and a large amount of data experience, so that the quality analysis prediction result is generated, and the relay has the quality hidden trouble.
Example 2: when the predicted component is the shaft temperature sensor, the temperature difference between the shaft temperature sensor and the reference shaft temperature sensor at a certain moment is calculated according to the query result data stream, the threshold condition is that the temperature difference is larger than a set threshold, and the quality analysis prediction result indicates that the shaft temperature sensor has potential quality hazards.
Each single unfinished vehicle is provided with 8 axle temperature sensors, when a predicted part is the axle temperature sensor, the query module 5 reads the temperature data of the axle temperature sensor from the storage module 4 to obtain a query result data stream, then calculates the temperature difference between the axle temperature sensor and a reference axle temperature sensor at a certain moment when the external conditions are the same according to the query result data stream, and when the temperature difference is larger than a set threshold (for example, 1.5 ℃, the installation position of the sensor is presumed to be incorrect or the sensor has a fault defect, so that the generated quality analysis prediction result indicates that the axle temperature sensor has a quality hidden trouble.
Example 3: when the predicted component is the pantograph, a pressure change curve of the pantograph lifting pneumatic pipeline in the pantograph lifting process is generated according to the query result data stream, the threshold condition is that the amplitude difference value of two adjacent fluctuations in the pressure change curve is larger than a set threshold, and the quality analysis prediction result indicates that the pantograph has potential quality hazards.
When the predicted part is the pantograph, the query module 5 reads pressure data of the pantograph lifting pneumatic pipeline in the pantograph lifting process from the storage module 4 to obtain query result data flow, then generates a pressure change curve of the pantograph lifting pneumatic pipeline in the pantograph lifting process according to the query result data flow, monitors the pressure change curve of the pantograph lifting pneumatic pipeline in the pantograph lifting process in real time, finds that the pressure curve of the pantograph lifting pneumatic pipeline in the pantograph lifting process is a relatively smooth pressure curve through analyzing a historical curve, and indicates that the cylinder is blocked in the pantograph lifting process when the amplitude difference value of two adjacent fluctuations in the pressure change curve exceeds a set threshold value, so that a quality analysis prediction result is generated, and the pantograph has potential quality hazards.
Since the predicted parts on a single unfinished vehicle have diversity, the above three examples are a basic part failure prediction method in the present invention, and such prediction method can be modified according to the specific type of the predicted parts, and it will be apparent to those skilled in the art that several variations and improvements can be made without departing from the inventive concept, which shall all fall within the protection scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
In an alternative embodiment, as shown in fig. 2, the query module 5 includes a server 6 and a terminal device 7, the terminal device 7 receives query conditions, which include but are not limited to predicted part name information, recording time period information and recording filling person information, the terminal device 7 converts the query conditions into corresponding query instructions and transmits the query instructions to the server 6 in the form of an HTTP network request; the server 6 feeds back the query result data stream to the terminal device 7 by calling a database query instruction in the storage module 4; the terminal device 7 displays the query result data stream and performs component quality analysis prediction processing on the query result data stream to obtain a quality analysis prediction result of the predicted component, and displays the quality analysis prediction result. Optionally, the terminal device 7 in this embodiment may be implemented by any computer with an ethernet network card, an MVB network card, an RS232 communication interface, a CPU, an internal memory, and a hard disk.
The user inputs the query conditions in the computer, wherein the query conditions comprise basic information of the required fault record, and possibly comprise related information such as name information of the predicted part, record time period information, record filling personnel information and the like. In the process of running the computer program, data interaction with the database is often required, and the operation of the database requires providing a database instruction written in Structured Query Language (SQL), so that the computer converts a Query condition into a corresponding Query instruction through a preset software program, and then transmits the Query instruction to the server 6 in the form of an HTTP network request. The server 6 feeds back the query result data stream to the computer by calling the database query instruction in the storage module 4, and the computer displays the data.
In an alternative embodiment, as shown in fig. 3, the terminal device 7 includes a data calling module 8, a network request module 9, a component quality analysis module 10, and a data presentation module 11; the data calling module 8 receives the query conditions and converts the query conditions into JSON format data to form query instructions, and the query instructions are transmitted to the server 6 through the network request module 9; the server 6 transmits the query result data stream back to the data calling module 8 through the network request module 9 in the JSON format, the data calling module 8 analyzes the data in the JSON format and then respectively transmits the data to the data presenting module 11 and the component quality analyzing module 10, and the data presenting module 11 displays the data transmitted by the data calling module 8 in the form of a table; the component quality analysis module 10 performs component quality analysis prediction processing on the data transferred by the data calling module 8 to obtain a quality analysis prediction result of the predicted component, and sends the quality analysis prediction result to the data presentation module 11, and the data presentation module 11 displays the quality analysis prediction result in a table form.
In the embodiment, the data calling module 8 receives a query condition input by a user, converts the query condition into data in a JSON format through operation, forms a query instruction, and transmits the query instruction to the server 6 through the network request module 9, the server 6 transmits a query result data stream read from the storage module 4 back to the data calling module 8 through the network request module 9 in the JSON format, and the data calling module 8 analyzes the JSON data and then respectively transfers the JSON data to the data presentation module 11 and the component quality analysis module 10; the data presentation module 11 displays the data transferred by the data call module 8 in a form of a table, which is convenient for a user to view more intuitively, meanwhile, the component quality analysis module 10 performs component quality analysis prediction processing on the data transferred by the data call module 8, and specific processes of the component quality analysis prediction processing refer to the foregoing embodiments, which are not described herein again, a quality analysis prediction result of a predicted component can be obtained after the component quality analysis prediction processing, the component quality analysis module 10 sends the quality analysis prediction result to the data presentation module 11, and the data presentation module 11 displays the quality analysis prediction result in a form of a table, which is convenient for the user to view and analyze.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A data acquisition and quality analysis system for a debugging process of a motor train unit is characterized by comprising an acquisition control module (1), a communication module (2), an operation module (3), a storage module (4) and an inquiry module (5) which are sequentially connected;
the acquisition control module (1) acquires state data of a single section of unfinished vehicle in a debugging process, and transmits the state data to the operation module (3) through the communication module (2) in a binary data form;
the operation module (3) analyzes the state data into logic type data, floating point type data and integer type data according to a known protocol rule of the motor train unit, generates a database instruction, and stores the logic type data, the floating point type data and the integer type data into the storage module (4) through the database instruction;
the query module (5) is used for receiving query conditions of the predicted component, reading a corresponding query result data stream from the storage module (4) according to the query conditions, and displaying the query result data stream, and the query module (5) is also used for performing component quality analysis prediction processing on the query result data stream to obtain a quality analysis prediction result of the predicted component, and displaying the quality analysis prediction result.
2. The system for data collection and quality analysis in the debugging process of the motor train unit according to claim 1, wherein the process of performing component quality analysis prediction processing on the query result data stream comprises the following steps:
generating a historical curve of the predicted component according to the query result data stream, or calculating a parameter difference value between the predicted component and a reference component at a certain moment according to the query result data stream;
and judging whether the historical curve or the parameter difference value meets a threshold condition, and generating a quality analysis prediction result of the predicted component according to a judgment result.
3. The system for data collection and quality analysis in a debugging process of a motor train unit according to claim 2,
and when the predicted part is a relay, generating an actuation cycle time historical curve of the relay according to the query result data stream, wherein the threshold condition is that the maximum actuation cycle time of the actuation cycle time historical curve is greater than the design parameters of the relay, and the quality analysis prediction result indicates that the relay has potential quality hazards.
4. The system for data collection and quality analysis in a debugging process of a motor train unit according to claim 2,
when the predicted component is a shaft temperature sensor, calculating a temperature difference value between the shaft temperature sensor and a reference shaft temperature sensor at a certain moment according to the query result data stream, wherein the threshold condition is that the temperature difference value is larger than a set threshold, and the quality analysis prediction result indicates that the shaft temperature sensor has potential quality hazards.
5. The system for data collection and quality analysis in a debugging process of a motor train unit according to claim 2,
when the predicted part is a pantograph, generating a pressure change curve of a pantograph lifting pneumatic pipeline in the pantograph lifting process according to the query result data stream, wherein the threshold condition is that the amplitude difference value of two adjacent fluctuations in the pressure change curve is larger than a set threshold, and the quality analysis prediction result indicates that the pantograph has potential quality hazards.
6. The system for data collection and quality analysis in the debugging process of motor train unit according to any one of claims 1 to 5,
the query module (5) comprises a server (6) and a terminal device (7), the terminal device (7) receives the query conditions, converts the query conditions into corresponding query instructions, and transmits the query instructions to the server (6) in an HTTP network request mode, and the server (6) feeds back the query result data stream to the terminal device (7) by calling the database query instructions in the storage module (4).
7. The system for data acquisition and quality analysis in the debugging process of the motor train unit according to claim 6, wherein the terminal device (7) comprises a data calling module (8), a network request module (9), a component quality analysis module (10) and a data presentation module (11);
the data calling module (8) receives the query condition and converts the query condition into data in a JSON format to form the query instruction, and the query instruction is transmitted to the server (6) through the network request module (9);
the server (6) transmits the query result data stream back to the data calling module (8) through the network request module (9) in a JSON format, the data calling module (8) analyzes data in the JSON format and then respectively transmits the data to the data presentation module (11) and the component quality analysis module (10), and the data presentation module (11) displays the data transmitted by the data calling module (8) in a table form;
the component quality analysis module (10) performs component quality analysis prediction processing on the data transferred by the data calling module (8) to obtain a quality analysis prediction result of the predicted component, and sends the quality analysis prediction result to the data presentation module (11), and the data presentation module (11) displays the quality analysis prediction result in a table form.
8. The system for data collection and quality analysis in a debugging process of a motor train unit according to claim 6,
the terminal equipment (7) is a computer.
9. The system for data collection and quality analysis in the debugging process of motor train unit according to any one of claims 1 to 5,
the status data includes shaft temperature sensor data, cylinder pressure sensor data, voltage sensor data, current sensor data, switch data, and relay data.
10. The system for data collection and quality analysis in the debugging process of motor train unit according to any one of claims 1 to 5,
the query condition includes predicted part name information, recording time period information, and recording filler information.
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